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Professor-led qualitative analysis using the peer-reviewed GATOS methodology. Defensible insights for high-stakes decisions.

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Capabilities

  • Thematic Analysis
  • Decision Network Mapping
  • Causal Inference
  • Generative Reporting

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  • [email protected]
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Professor Katz • Tabbi Research

Months of qualitative coding. Done in days.

Professor-led AI analysis grounded in peer-reviewed methodology. Every theme traced back to evidence. Every codebook defensible under scrutiny.

Book a Free Scoping CallExplore the Methodology
Published inNature HSS CommunicationsSAGE IJQM

Engagement Snapshot

What clients receive

  • Traceability chains from source utterance to final theme
  • Codebooks, decision maps, and executive-ready narratives
  • Evidence-linked recommendations and audit-ready outputs

Typical timeline

12–48 hours

Engagement size

Multi‑thousand+ datasets

The Challenge

Qualitative analysis doesn't scale. Until now.

Your team collected thousands of open-ended responses, interview transcripts, or survey comments. Now someone has to read every one, develop codes, identify themes, and build a defensible codebook. Manually, that takes weeks or months of trained researcher time — and tens of thousands of dollars.

Meanwhile, off-the-shelf AI tools promise speed but deliver shallow outputs you can't defend in a peer review, a boardroom, or a regulatory filing.

There's a better path: rigorous thematic analysis at the speed your work demands.

Who We Work With

Built for teams where the analysis has to hold up

Academic Researchers

You need a methodology you can cite, a codebook you can defend in peer review, and results faster than your RA timeline allows.

Healthcare & Patient Experience

You're sitting on thousands of patient comments, CAHPS responses, or clinical trial narratives — and compliance requires your data stays private.

Policy & Social Impact

Stakeholder input, public comments, program evaluations — you need to turn qualitative evidence into defensible recommendations.

Corporate Research Teams

Employee engagement surveys, customer feedback, UX interviews — you need themes extracted at scale without sacrificing depth.

By The Numbers

12–48 hours
Turnaround
From data submission to initial codebook delivery
500 to 10,000+
Responses
Analyzed with the same methodological rigor
Peer-reviewed
Methodology
Published in a Nature-portfolio journal
100% auditable
Traceability
Every code traced from source to final theme

Your Experience

From raw data to defensible insights in three steps

01

Scoping Call

30 minutes, free

We review your dataset, research questions, and timeline. You receive a clear proposal with scope, deliverables, and pricing within 48 hours.

02

We Analyze

Secure, private processing

Upload your data through our secure portal. Our AI pipeline and analyst review process generates your codebook and thematic analysis within the agreed timeline. Your data never touches third-party APIs.

03

You Review and Refine

Collaborative delivery

We walk through findings together in a working session. You get revision rounds to ensure the output aligns with your interpretive framework and research goals. You receive your final deliverables in your preferred format.

Book Your Free Scoping Call

Deliverables

Analysis that answers your questions — not just describes your data

Thematic Analysis

What's in my data?

We identify every theme in your qualitative dataset, show you how prevalent each one is, and map how themes relate to each other. You get a complete codebook with definitions, supporting quotes, and a full evidence trail — ready to import into NVivo, Atlas.ti, or any QDA tool.

Decision Mapping

What's driving decisions?

We map the factors influencing decisions in your data, showing causal relationships and dependencies. You see not just what people said, but why they think and act the way they do — structured as actionable insight, not just a theme list.

Research-Ready Reporting

What does it mean?

Executive narratives, visualizations, and traceability matrices tied directly to your research questions. Every claim linked to evidence. Presentation-ready for stakeholders, publication-ready for journals.

The GATOS Workflow

A traceable chain of evidence, not a black box

Our methodology is peer-reviewed and published. It doesn't just throw an LLM at your data — it mirrors how trained qualitative researchers actually code: reading one unit of text at a time, checking against existing codes, and only generating new codes when the data demands it.

The result is a codebook built inductively from your data, not hallucinated from a model's training set.

Read the Full Methodology
  1. 01

    Evidence Ingestion

    Your data is prepared, normalized, and summarized with full audit logging. Nothing is lost or abstracted away.

  2. 02

    Inductive Coding

    Each data point is embedded, clustered, and iteratively coded against the evolving codebook — preserving nuance and source traceability at every step.

  3. 03

    Theme Architecture

    Codes are organized into themes and sub-themes with evidence-linked prevalence data and relationship mapping.

  4. 04

    Decision Outputs

    Final deliverables are built around your research questions: codebooks, narratives, visualizations, and traceability matrices.

Why Teams Choose Us

What makes this different from ChatGPT or another AI tool

Methodology, not prompting

Our analysis follows a systematic, peer-reviewed pipeline — not a prompt pasted into a chatbot. The process is reproducible and citable.

Your data stays private

The entire workflow runs on open-source models. Your data never leaves your environment. No OpenAI. No third-party APIs. We sign NDAs and DPAs as standard practice.

Human expertise in the loop

Every codebook is reviewed by a PhD-level qualitative analyst before delivery. You're getting expert judgment augmented by AI — not raw model output.

Audit-ready from day one

Every code comes with its definition, the data it was derived from, and supporting evidence. Reviewers, IRBs, and stakeholders can trace any finding back to the source.

Results

What this looks like in practice

We had 2,400 open-ended patient feedback responses that had been sitting unanalyzed for over a year. Tabbi delivered a complete thematic analysis — 43 codes organized into 7 themes — in under 72 hours. It would have taken our team an entire quarter.
Research Director·Academic Medical Center

Recent Engagement

In a recent engagement, we analyzed 3,100 employee survey responses across 6 organizational dimensions. The full codebook, theme report, and coded dataset were delivered in 4 business days — replacing an estimated 400+ hours of manual coding.

3,100

Responses

4 days

Delivered

400+

Hours saved

Investment

Engagements built around your dataset and questions

Every project is scoped to your specific needs. Pricing is based on dataset size, complexity, and deliverable depth — discussed during your scoping call.

Codebook Express

Delivered in 5–7 business days

AI-generated inductive codebook with themes, definitions, and supporting evidence. Ideal for single datasets up to 500 responses.

Full Thematic Analysis

Delivered in 10–15 business days

Complete codebook plus full dataset coding, thematic narrative report, and working sessions. For datasets up to 2,000 responses.

Research Partnership

Scoped to your timeline

Multi-dataset, multi-phase engagements with custom pipeline configuration, on-premise deployment options, and ongoing advisory. For large-scale or longitudinal studies.

Not sure which tier fits? Book a free 30-minute scoping call and we'll recommend the right approach for your project.

Book a Scoping Call

Academic researchers: Ask about our research collaboration pricing.

Client Work

Portfolio shared by request

We protect client confidentiality. A curated portfolio of anonymized engagements — including codebook samples, theme reports, and methodology documentation — is available during consultation.

Request Portfolio

Stop leaving qualitative data unanalyzed

Schedule a free 30-minute scoping call. We'll review your dataset, your research questions, and your timeline — and tell you honestly whether we're the right fit.

Book Your Free Call

Or email us directly: [email protected]

Contact Us